Evidence map›Paper›PMID 33091876›Full record

ArticleAging2020

Jie Liu, Xiao Han, Lijuan Chen, Dong Han, Xiaoqian Mu, Xiufeng Hu, Hongbo Wu, Huijuan Wu, Wenjing Liu, Yanqiu Zhao

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. The Roles of H3K9me3 Writers, Readers, and Erasers in Cancer Immunotherapy.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Advances of E3 ligases in lung cancer.Biochemistry and biophysics reports · 2024
    Review
  8. Article
  9. Review
  10. The Immune Modulatory Role of TIF1 Proteins.Advances in experimental medicine and biology · 2024
    Review
  11. TRIM28 in cancer and cancer therapy.Frontiers in genetics · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Jie LiuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Xiao HanDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lijuan ChenDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Dong HanDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoqian MuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Xiufeng HuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Hongbo WuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Huijuan WuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Wenjing LiuDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Yanqiu ZhaoDepartment of Internal Medicine, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CNThird Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor immune microenvironment (TIME) is an important determinant of cancer prognosis and treatment efficacy. To identify immune-related prognostic biomarkers of lung adenocarcinoma, we used the ESTIMATE algorithm to calculate the immune and stromal scores of 517 lung adenocarcinoma patients from The Cancer Genome Atlas (TCGA). We detected 985 differentially expressed genes (DEGs) between patients with high and low immune and stromal scores, and we analyzed their functions and protein-protein interactions.

Indexed as

Tumor MicroenvironmentAdenocarcinoma of LungBiomarkers, TumorCell Line, TumorDisease-Free SurvivalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansInterferon Regulatory Factor-8Interferon Regulatory FactorsLung NeoplasmsMaleProtein Interaction MapsRisk AssessmentBiomarkers, TumorInterferon Regulatory Factor-8Interferon Regulatory FactorsIRF5 protein, humanTRIM28 protein, humanTripartite Motif-Containing Protein 28lung adenocarcinomaprognosisTRIM28tumor immune microenvironment

Identifiers

PMID33091876
PMCPMC7655206
OpenAlexW3092458803

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.